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David Draper
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2020 – today
- 2022
- [i6]Erdong Guo, David Draper, Maria De Iorio:
Annealing Double-Head: An Architecture for Online Calibration of Deep Neural Networks. CoRR abs/2212.13621 (2022) - 2021
- [i5]Erdong Guo, David Draper:
The Bayesian Method of Tensor Networks. CoRR abs/2101.00245 (2021) - [i4]Erdong Guo, David Draper:
Infinitely Wide Tensor Networks as Gaussian Process. CoRR abs/2101.02333 (2021) - [i3]Erdong Guo, David Draper:
Representation Theorem for Matrix Product States. CoRR abs/2103.08277 (2021) - [i2]Erdong Guo, David Draper:
Neural Tangent Kernel of Matrix Product States: Convergence and Applications. CoRR abs/2111.14046 (2021) - 2020
- [c2]Alexander Terenin, Daniel Simpson, David Draper:
Asynchronous Gibbs Sampling. AISTATS 2020: 144-154
2010 – 2019
- 2019
- [j6]Alexander Terenin
, Måns Magnusson
Pólya Urn Latent Dirichlet Allocation: A Doubly Sparse Massively Parallel Sampler. IEEE Trans. Pattern Anal. Mach. Intell. 41(7): 1709-1719 (2019) - [j5]Alexander Terenin, Shawfeng Dong, David Draper:
GPU-accelerated Gibbs sampling: a case study of the Horseshoe Probit model. Stat. Comput. 29(2): 301-310 (2019) - 2017
- [j4]Alexander Terenin
A Noninformative Prior on a Space of Distribution Functions. Entropy 19(8): 391 (2017) - 2016
- [i1]Alexander Terenin, Shawfeng Dong, David Draper:
GPU-accelerated Gibbs Sampling. CoRR abs/1608.04329 (2016) - 2011
- [r2]Sander Greenland, David Draper:
Exchangeability. International Encyclopedia of Statistical Science 2011: 474-476
2000 – 2009
- 2009
- [r1]David Draper:
Bayesian Statistics. Encyclopedia of Complexity and Systems Science 2009: 455-476 - 2008
- [j3]Milovan Krnjajic, Athanasios Kottas, David Draper:
Parametric and nonparametric Bayesian model specification: A case study involving models for count data. Comput. Stat. Data Anal. 52(4): 2110-2128 (2008) - 2004
- [c1]Brian Hanks, Charlie McDowell, David Draper, Milovan Krnjajic:
Program quality with pair programming in CS1. ITiCSE 2004: 176-180 - 2000
- [j2]William J. Browne, David Draper:
Implementation and performance issues in the Bayesian and likelihood fitting of multilevel models. Comput. Stat. 15(3): 391-420 (2000) - [j1]David Draper, Dimitris Fouskakis
A Case Study of Stochastic Optimization in Health Policy: Problem Formulation and Preliminary Results. J. Glob. Optim. 18(4): 399-416 (2000)
1990 – 1999
- 1993
- [d1]David Draper:
Challenger USA Space Shuttle O-Ring. UCI Machine Learning Repository, 1993
Coauthor Index
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